In multiple linear regression, what does the adjusted R-squared value tell you? a. The Adjusted R squared value tells you if there is a negative relationship b. The Adjusted R squared value tells you if there is a significant relationship c. The Adjusted R squared value tells you if there is a positive relationship d. The Adjusted R squared value tells you how much of the variance in the dependent variable can be accounted for by the independent variable
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
In multiple linear regression, what does the adjusted R-squared value tell you?
| a. |
The Adjusted R squared value tells you if there is a negative relationship |
|
| b. |
The Adjusted R squared value tells you if there is a significant relationship |
|
| c. |
The Adjusted R squared value tells you if there is a positive relationship |
|
| d. |
The Adjusted R squared value tells you how much of the variance in the dependent variable can be accounted for by the independent variable |
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